plotly density_heatmap example - Brave Search

plotly.com › python › density-heatmaps

Density heatmap in Python

With px.density_map, each row of the DataFrame is represented as a point smoothed with a given radius of influence. ... import pandas as pd df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/earthquakes-23k.csv') import plotly.express as px fig = px.density_map(df, lat='Latitude', lon='Longitude', z='Magnitude', radius=10, center=dict(lat=0, lon=180), zoom=0, map_style="open-street-map") fig.show()

plotly.com › python-api-reference › generated › plotly.express.density_heatmap.html

plotly.express.density_heatmap — 6.8.0 documentation

plotly.express.density_heatmap(data_frame=None, x=None, y=None, z=None, facet_row=None, facet_col=None, facet_col_wrap=0, facet_row_spacing=None, facet_col_spacing=None, hover_name=None, hover_data=None, animation_frame=None, animation_group=None, category_orders=None, labels=None, orientation=None, color_continuous_scale=None, range_color=None, color_continuous_midpoint=None, marginal_x=None, marginal_y=None, opacity=None, log_x=False, log_y=False, range_x=None, range_y=None, histfunc=None, histnorm=None, nbinsx=None, nbinsy=None, text_auto=False, title=None, subtitle=None, template=None, width=None, height=None) → plotly.graph_objects._figure.Figure¶

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Python Data Analysis Bootcamp class 8 - 05 Plotly Density Heatmap ...

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Creating Geospatial Heatmaps With Plotly Express MapBox and Folium ...

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Create Density contour charts using Plotly express and Python

deephaven.io › core › plotly › 0.16.0 › docs › density_heatmap

Density Heatmap Plot | Deephaven

Visualize the joint distribution of a large dataset (10 million rows in this example) by passing each column name to the x and y arguments. Increasing the number of bins can produce a much smoother visualization. A density heatmap creates a grid of colored bins.

mapped.newman.me › example-plotly-density-heatmap.html

Plotly Density Heatmap — mapped 20.4.2 documentation

This example reviews plotting density heatmap from a GeoDataFrame using plotly.

plotly.com › python › heatmaps

Heatmaps in Python

Plotly supports two different types of colored-tile heatmaps: Matrix Heatmaps accept a 2-dimensional matrix or array of data and visualizes it directly. This type of heatmap is the subject of this page. Density Heatmaps accept data as a list and visualizes aggregated quantities like counts or sums of this data.

codecademy.com › docs › python:plotly › express › .density_heatmap()

Python:Plotly | express | .density_heatmap() | Codecademy

February 25, 2025 - px.density_heatmap(data_frame=None, x=None, y=None, nbinsx=None, nbinsy=None, color_continuous_scale=None, ...)

educative.io › answers › creating-a-density-heatmap-plot-with-plotly-express-in-python

Creating a density heatmap plot with Plotly Express in Python

Density estimation: Plotly Express uses kernel density estimation (KDE) to estimate the density of data points in each plot region. This estimation is used to generate the heatmap, where more intense colors represent areas of higher density.

plotly.com › javascript › tile-density-heatmaps

Tile density heatmap in JavaScript

var data = [ {type: "densitymap", lon: [10, 20, 30], lat: [15, 25, 35], z: [1, 3, 2], radius: 50, colorbar: {y: 1, yanchor: 'top', len: 0.45}}, {type: 'densitymap', lon: [-10, -20, -30], lat: [15, 25, 35], radius: [50, 100, 10], colorbar: {y: 0, yanchor: 'bottom', len: 0.45} }]; var layout = {map: {style: 'light', center: {lat: 20}}, width: 600, height: 400}; Plotly....

projectpro.io › recipes › make-density-heatmap-plotly

How to make a density heatmap using plotly? -

June 6, 2022 - Density heatmap it is computed by grouping a set of points specified by their x and y coordinates into bins, and applying an aggregation function such as count or sum if z is provided to compute the color of the tile representing the bin. This kind of visualization is often used to manage over-plotting, or situations where showing large data sets as scatter plots would result in points overlapping each other and hiding patterns.

Find elsewhere

Google Bing Mojeek

stackoverflow.com › questions › 69502916 › python-plotly-adding-hover-data-to-density-heat-map

Python & Plotly: Adding Hover Data to Density Heat Map - Stack Overflow

This might be a bug with px.density_heatmap. After running fig = px.density_heatmap(df, x="total_bill", y="tip", hover_data=['size']), the hovertemplate should include the size column, but hovertemplate string doesn't include the correct information.

fig.data[0].hovertemplate
'total_bill=%{x}<br>tip=%{y}<br>count=%{z}<extra></extra>'

For the sake of comparison, if we run: fig = px.scatter(df, x="total_bill", y="tip", hover_data=['size']), we can see that the hovertemplate does include the size column embedded in the customdata:

fig.data[0].hovertemplate
'total_bill=%{x}<br>tip=%{y}<br>size=%{customdata[0]}<extra></extra>'

You probably need to use Plotly graph_objects for the time being to display additional df columns in your heatmap when you hover. I can circle back on this answer to show you if you would like!

Thanks to Derek's suggestion and this SO Q&A, I used hover_template, graph_objects, and customdata to plot the data but the custom hover data for the "Smokes" field is not displayed.

import plotly.graph_objects as go
import plotly.express as px


df = px.data.tips()

fig = go.Figure(
    data=go.Histogram2d(
        x=df['total_bill'], 
        y=df['tip'],
        z=df['size'],
        histfunc='sum',
        customdata=[df['smoker']]
    )
)

fig.update_traces(
    hovertemplate='<br>'.join([
        'Bill $: %{x}',
        'Tip $: %{y}',
        'Size: %{z}',
        'Smokes: %{customdata[0]}'
    ])
)

fig.show()

github.com › plotly › plotly.py › blob › main › doc › python › 2D-Histogram.md

plotly.py/doc/python/2D-Histogram.md at main · plotly/plotly.py

Plotly Express is the easy-to-use, high-level interface to Plotly, which operates on a variety of types of data and produces easy-to-style figures. The Plotly Express function density_heatmap() can be used to produce density heatmaps.

Author: plotly

plotly.com › python-api-reference › generated › plotly.express.density_heatmap

plotly.express.density_heatmap — 6.5.0 documentation

plotly.express.density_heatmap(data_frame=None, x=None, y=None, z=None, facet_row=None, facet_col=None, facet_col_wrap=0, facet_row_spacing=None, facet_col_spacing=None, hover_name=None, hover_data=None, animation_frame=None, animation_group=None, category_orders=None, labels=None, orientation=None, color_continuous_scale=None, range_color=None, color_continuous_midpoint=None, marginal_x=None, marginal_y=None, opacity=None, log_x=False, log_y=False, range_x=None, range_y=None, histfunc=None, histnorm=None, nbinsx=None, nbinsy=None, text_auto=False, title=None, subtitle=None, template=None, width=None, height=None) → plotly.graph_objects._figure.Figure¶

plotly.com › python › 2D-Histogram

2d histograms in Python

Plotly Express is the easy-to-use, high-level interface to Plotly, which operates on a variety of types of data and produces easy-to-style figures. The Plotly Express function density_heatmap() can be used to produce density heatmaps.

educative.io › answers › mapbox-density-heatmap-with-plotly-in-python

Mapbox density heatmap with Plotly in Python

Finally, we can display the Mapbox density heatmap by calling the show() method on our Plotly figure.

medium.com › @twelsh37 › creating-stunning-visualisations-with-plotly-a-beginners-guide-to-plotlys-2d-distribution-charts-cd437142c8f8

Creating Stunning Visualisations with Plotly: A Beginner’s Guide to Plotlys’ 2D Distribution charts. | by Tom Welsh | Medium

February 5, 2026 - A 2D Density Heatmap is a 2-dimensional generalisation of a histogram that groups x and y coordinates into bins and uses an aggregation function, such as count or sum, to determine the colour intensity of each bin, effectively showing the density of points in a region. This method is particularly effective for datasets with tens of thousands of points, where a scatter plot would show a mass of overlapping points.

R Graph Gallery

r-graph-gallery.com › 215-interactive-heatmap-with-plotly.html

Plotly heatmap – the R Graph Gallery

Plotly allows to build quality interactive heatmaps. This document provides several examples with reproducible code

plotly.com › python › colorscales

Continuous color scales and color bars in Python

This means that the color bar can configured there, for example it can be hidden: ... import plotly.express as px df = px.data.tips() fig = px.density_heatmap(df, x="total_bill", y="tip", title="No color bar on this density plot") fig.update_layout(coloraxis_showscale=False) fig.show()

tutorialspoint.com › plotly › plotly_heatmap.htm

Plotly - Heatmap

] harvest = np.array( [ [0.8, 2.4, 2.5, 3.9, 0.0, 4.0, 0.0], [2.4, 0.0, 4.0, 1.0, 2.7, 0.0, 0.0], [1.1, 2.4, 0.8, 4.3, 1.9, 4.4, 0.0], [0.6, 0.0, 0.3, 0.0, 3.1, 0.0, 0.0], [0.7, 1.7, 0.6, 2.6, 2.2, 6.2, 0.0], [1.3, 1.2, 0.0, 0.0, 0.0, 3.2, 5.1], [0.1, 2.0, 0.0, 1.4, 0.0, 1.9, 6.3] ] ) trace = go.Heatmap( x = vegetables, y = farmers, z = harvest, type = 'heatmap', colorscale = 'Viridis' ) data = [trace] fig = go.Figure(data = data) iplot(fig)

community.plotly.com › dash python

Density Mapbox Plot (Heatmap) in Dash - Dash Python - Plotly Community Forum

July 29, 2019 - Hi, I came across a plotly.js example for a mapbox heatmap (densitymapbox - https://github.com/plotly/plotly.js/pull/3993) Is there a way I can achieve the same on my dash app in python? It’s currently a dynamic scatte…

educative.io › answers › how-to-create-a-heatmap-plot-with-plotly-graph-objects-in-python

How to create a heatmap plot with Plotly Graph Objects in Python

Plotly Graph Objects and its methods Learn the core concepts of Plotly Graph Objects, including its structure, methods, and how to create fully customized visualizations. Creating a density heatmap plot with Plotly Express in Python Learn to visualize data density using heatmaps, making patterns ...